i am not an expert on AI, but don't the arrows represent weights between 0 and 1 (or -1 and 1, based on input normalization) as floating point numbers? If statements take booleans which would be limited to 0 *or* 1. Also, I am not sure what the functions' forms for each arrow are. Surely they are not just all linear in every case...
So the meme is *extremely* technically incorrect as far as I know. At least for models that predict numerical values as opposed to classification models that work with keywords?
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